Personalized medicine relies on two points: 1) causal knowledge about the possible effects of X in a given statistical population; 2) assignment of the given individual to a suitable reference class. Regarding point 1, standard approaches to causal inference are generally considered to be characterized by a trade-off between how confidently one can establish causality in any given study (internal validity) and extrapolating such knowledge to specific target groups (external validity). Regarding point 2, it is uncertain which reference class leads (...) to the most reliable inferences. -/- Instead, pharmacovigilance focuses on both elements of the individual prediction at the same time, that is, the establishment of the possible causal link between a given drug and an observed adverse event, and the identification of possible subgroups, where such links may arise. We develop an epistemic framework that exploits the joint contribution of different dimensions of evidence and allows one to deal with the reference class problem not only by relying on statistical data about covariances, but also by drawing on causal knowledge. That is, the probability that a given individual will face a given side effect, will probabilistically depend on his characteristics and the plausible causal models in which such features become relevant. The evaluation of the causal models is grounded on the available evidence and theory. (shrink)

The underreporting of suspected adverse drug reactions hinders pharmacovigilance. Solutions to underreporting are oftentimes directed at clinicians and health care professionals. However, given the recent rise of public inclusion in medical science, solutions may soon begin more actively involving patients. I aim to offer an evaluative framework for future possible proposals that would engage patients with the aim of mitigating underreporting. The framework may also have value in evaluating current reporting practices. The offered framework is composed of three criteria (...) that are bioethical, social-epistemic, and pragmatic: (i) patients should not be exposed to undue harms, e.g., nocebo effects; (ii) data should be collected, analyzed, and communicated prioritizing pharmacovigilance’s aims, i.e., free from industry bias; and (iii) proposals should account for existing and foreseeable pragmatic constraints like clinician ‘buy in’ and existing reporting infrastructure. Proposals to engage patients in pharmacovigilance that fulfil or address these criteria are preferable to those that do not. (shrink)

The underreporting of suspected adverse drug reactions remains a primary issue for contemporary post-market drug surveillance or ‘pharmacovigilance.’ Pharmacovigilance pioneer W.H.W. Inman argued that ‘deadly sins’ committed by clinicians are to blame for underreporting. Of these ‘sins,’ ignorance and lethargy are the most obvious and impactful in causing underreporting. However, recent analyses show that diffidence, insecurity, and indifference additionally play a major role. I aim to augment our understanding of diffidence, insecurity, and indifference by arguing these sins are (...) underwritten by value judgments arising via epistemic risk. I contend that ‘evidence-based’ medicine codifies these sins. (shrink)

We explore an unsolved challenge in the era of evidence-based medicine (EBM): the recognition of the patient as an epistemic agent or ‘knower’. While patients are increasingly acknowledged as carriers of values and preferences, it seems more challenging to acknowledge them as carriers of important causal information. In contrast, the science of pharmacovigilance depends on patient testimonies as valuable sources of causal evidence. This incompatibility can give rise to cases of what has been called participatory epistemic injustice. We analyse (...) the testimony of a chronic pain patient and co-author of this article, Christine. Christine gives an auto-ethnographic account of her interactions with healthcare professionals trying to find the right pharmacological treatment for her condition. Through the analysis of her own story, she identifies some relevant themes for the epistemic interaction between healthcare professionals and chronic pain patients. We argue that such epistemic interactions are increasingly shaped by EBM and its conception of causality, which devalues patient subjective testimonies and emphasises statistical evidence. We conclude that outlier patients face an inherent risk of being left vulnerable to participatory epistemic injustice, particularly regarding the discovery of novel, rare adverse effects of medicines. (shrink)

Background: Evidence suggesting adverse drug reactions often emerges unsystematically and unpredictably in form of anecdotal reports, case series and survey data. Safety trials and observational studies also provide crucial information regarding the (un-)safety of drugs. Hence, integrating multiple types of pharmacovigilance evidence is key to minimising the risks of harm. Methods: In previous work, we began the development of a Bayesian framework for aggregating multiple types of evidence to assess the probability of a putative causal link between drugs and (...) side effects. This framework arose out of a philosophical analysis of the Bradford Hill Guidelines. In this article, we expand the Bayesian framework and add “evidential modulators,” which bear on the assessment of the reliability of incoming study results. The overall framework for evidence synthesis, “E-Synthesis”, is then applied to a case study. Results: Theoretically and computationally, E-Synthesis exploits coherence of partly or fully independent evidence converging towards the hypothesis of interest (or of conflicting evidence with respect to it), in order to update its posterior probability. With respect to other frameworks for evidence synthesis, our Bayesian model has the unique feature of grounding its inferential machinery on a consolidated theory of hypothesis confirmation (Bayesian epistemology), and in allowing any data from heterogeneous sources (cell-data, clinical trials, epidemiological studies), and methods (e.g., frequentist hypothesis testing, Bayesian adaptive trials, etc.) to be quantitatively integrated into the same inferential framework. Conclusions: E-Synthesis is highly flexible concerning the allowed input, while at the same time relying on a consistent computational system, that is philosophically and statistically grounded. Furthermore, by introducing evidential modulators, and thereby breaking up the different dimensions of evidence (strength, relevance, reliability), E-Synthesis allows them to be explicitly tracked in updating causal hypotheses. (shrink)

Abstract: To improve the countries’ pharmaceutical situation and to monitor the progress, the World Health Organization (WHO) and member states developed a system of indicators to measure the respective important aspects as a prerequisite step. Level I indicators to assess the country’s pharmaceutical situation include the national drug policy; legislation and regulations; drug accessibility and affordability; essential drug list; quality control; pharmacovigilance; storage and distribution; information and rational use. This study is aimed to document the professional opinion of 20 (...) pharmacy practice professionals on Libya’s current pharmaceutical situation, utilizing WHO indicator-based approach. The core indicators measure the most important information needed to understand the pharmaceutical situation in a country. A closed-end questionnaire was distributed to ten practicing pharmacists and ten pharmacy teaching staff members who practice pharmacy. The questionnaires were handed over personally and collected on the same day. The responses were analyzed using simple statistics. The results were argued in the light of the first author’s observation and view, being expert in this field, with reference to the other experts’ views, relevant publications’ findings and WHO reports’ conclusions on these indicators. Suggestions and recommendations for a proper situation assessment, planning and action taking are presented. Primarily, government’s commitment towards appropriate restructuring, management and monitoring of the pharmaceutical sector is crucial. That is to enhance the country’s pharmaceutical situation, to provide and sustain efficient pharmaceutical services and to improve the overall health care system’s performance. (shrink)

ObjectiveTo identify the ethical challenges associated with the development and implementation of new tuberculosis drugs and diagnostics.MethodsTwenty-three semi-structured qualitative interviews conducted between December 2015 and September 2016 with programme administrators, healthcare workers, advocates, policymakers, and funders based in the Americas, Europe, and Africa. Interviews were analysed using thematic analysis.ResultsDivergent interests and responsibilities, coupled with power imbalances, are a primary source of ethical challenges; the uncertain risk profiles of new drugs present an additional one. Although this challenge can be partially mitigated (...) through stringent pharmacovigilance, respondents highlighted that high-burden countries tend to lack the resources to facilitate safe implementation. Increased advocacy and community engagement are considered an ethical imperative for future TB development and implementation.ConclusionsThis project helps identify some of the ethical challenges of new TB technologies. It demonstrates that investigating ethical challenges through qualitative research is one way to apprehend the difficulty of implementing new TB technologies. Addressing this difficulty will require that those in positions of power reconsider their interests in relation to disempowered communities.Policy implicationsEfforts to build consensus regarding what values should underpin the global governance of TB research, prevention, and care are essential to facilitate the ethical implementation of new TB technologies. (shrink)

Post-market pharmaceutical surveillance or ‘pharmacovigilance’ relies on the reporting of suspected adverse drug reactions to regulatory databases. Recently, more ‘active’ methods that directly involve patients in identifying and reporting suspected adverse drug reactions have been suggested. This is different than traditional ‘passive’ methods, e.g., using databases without contacting patients directly. Though there are benefits to active pharmacovigilance, it is not without its potential risks. Here I highlight one of those risks – the nocebo effect. Nocebo effects are harms (...) that are thought to arise by conditioning or negative expectation. If a patient engaged in active pharmacovigilance is improperly motivated to seek out and report suspected adverse drug reactions, nocebo harms can occur. Not only is this a bioethical concern about harm, but it is also an epistemic or data-quality problem. Since nocebo effects are not due to the pharmacological properties of the drugs under investigation, nocebo effects reported as suspected adverse drug reactions constitute false positives in these databases. (shrink)

Philosophers throughout history have long been drawn to big, important ideas that bubble up to the surface in interesting ways in myriads of disparate contexts. Following this tradition, authors in this issue engage with big ideas that percolate into clinical ethics, such as hope in healthcare, empathy in genetic counseling, the ramifications of Western cultural assumptions in clinical ethics, the proper aims of palliative hospice and palliative medicine, and the proper role of the public in pharmacovigilance.